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Software Engineer Interview Questions
Practice 9403 coding, system design and machine learning questions from 546 companies, sorted by role, topic and interview round. Every question has step-by-step hints, a code runner that supports 8 languages and an AI mentor; members also get the full solution walkthrough.
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Showing 1–30 of 353 results
- 1PasswordEasySoftware EngineerExplain Role Fit, Conflict Resolution, and Learning
Prepare concise interview answers about role fit, conflict resolution, and learning a new technology or domain. Each response should use verified facts and real experience while demonstrating judgment, collaboration, learning agility, and defensible outcomes.
Behavioral & LeadershipOnsite - AMDMediumSoftware EngineerExplain How You Learn New Technical Topics
Explain a practical technical-learning process through a defined knowledge gap, authoritative sources, small experiments, feedback, and verification before real use.
Behavioral & LeadershipOnsite - AMDMediumSoftware EngineerHow and How Often You Use AI Tools in Day-to-Day Engineering Work
A behavioral question asking where you use AI tools in your engineering work, how often, and how much you rely on them. It tests judgment about when AI helps or hurts, how you verify generated output, and awareness of confidentiality and code quality risks.
Behavioral & LeadershipOnsite - AdobeMediumSoftware EngineerCollaborate Effectively with a Product Manager
Give a concrete example of partnering with a product manager on a difficult decision involving scope, timing, quality, or measurement. Explain shared ownership, ambiguity, disagreement, alignment between product and engineering, and the measured result.
Behavioral & LeadershipOnsite - AdobeMediumSoftware EngineerDescribe Your Two-to-Three-Year Growth Direction
Explain how you want your capabilities, scope, and problem ownership to grow over the next two to three years. Ground the direction in prior evidence, connect it to the role, and show how you plan to learn while remaining adaptable.
Behavioral & LeadershipOnsite - AdobeMediumSoftware EngineerLearn from a Major Work Setback
Describe a consequential professional setback that left you frustrated or disappointed. Focus on what was under your control, your response, the perspectives of others, and a lasting change in process or judgment.
Behavioral & LeadershipOnsite - AffirmMediumSoftware EngineerDiscuss team fit and leadership with manager
Discuss team fit and leadership with manager evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Behavioral & LeadershipOnsite - AirbnbMediumSoftware EngineerDescribe a cross-functional project you’re proud of
This question evaluates cross-functional collaboration, leadership, stakeholder alignment, conflict resolution, project ownership, and the ability to articulate technical and product decisions along with measurable impact.
Behavioral & LeadershipOnsite - AirbnbMediumSoftware EngineerDescribe a flagship project’s architecture and tradeoffs
This question evaluates leadership and ownership along with system architecture and trade-off analysis, assessing competencies in end-to-end technical design, stakeholder communication, implementation decisions, and metrics-driven impact.
Behavioral & LeadershipOnsite - AirbnbMediumSoftware EngineerPrioritize consumer product opportunities
This question evaluates a candidate's ability in product strategy, data-driven user research, metric design, and prioritization within the product/decision-making domain for a consumer mobile application.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerA Problem That Needed Deep Analysis: Knowing You Focused on the Right Things
A behavioral question about a problem that required in-depth thought and analysis, how you knew you were focusing on the right things, and what the outcome was. Follow-ups probe precise details of the example, such as an LLM agent's token size, the effect of adding fields, and what completeness meant.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerAnswer Amazon Leadership Principles questions
This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Answer Amazon Leadership Principles questions states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerAssess cooldown and plan interview strategy
This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Assess cooldown and plan interview strategy states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerBehavioral: Resolving a Workplace Conflict and Using Generative AI in Your Work
A two-part behavioral question from a software engineering onsite: describe a conflict with a coworker and how it was resolved, then explain how you have used generative AI in your work. It tests ownership, settling disagreements with evidence, verifying AI output, and judgment about the limits of AI tools.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerBuild a Solution That Benefits Teams Beyond Your Own
This question assesses a candidate's ability to think beyond immediate team requirements, identifying systemic inefficiencies and designing scalable solutions that provide cross-functional value.
Behavioral & LeadershipOnsiteLeadershipCross-functionalScalability - AmazonMediumSoftware EngineerCalculated Risks and Tight Deadlines: Moving Fast With Good Judgment
An Amazon leadership-principles behavioral question in two parts: a calculated risk you took when speed was critical, and an important project you delivered under a tight deadline. It tests bias for action, risk judgment, scope negotiation and delivering results at a senior level.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerCustomer Focus: Going Above and Beyond and Shipping a Customer-Driven Change
An Amazon behavioral question on customer focus: describe a time you went above and beyond for a customer, and a change you made that was driven by customer needs. It tests how you discover customer problems, act on them beyond expectations, and measure the impact.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerDeliver an Important Project Under a Tight Deadline
Describe deadline-driven project delivery through business priorities, scope and quality tradeoffs, dependency management, and evidence of the delivered impact.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerDemonstrate leadership with STAR examples
Demonstrate leadership with STAR examples evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerDescribe Deadline, Mistake, Problem-Solving, and AI Experiences
These prompts evaluate a Software Engineer (Intern)'s time management under tight deadlines, ownership and accountability for mistakes, technical problem-solving depth, and the responsible use of generative AI within the Behavioral & Leadership interview domain.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerDescribe handling deadlines, conflicts, feedback, and ownership
This question evaluates interpersonal and leadership competencies such as prioritization and deadline management, scope negotiation, risk communication, conflict resolution, receptiveness to feedback, ownership, proactive collaboration, and root-cause analysis.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerDescribe projects and handle challenges
This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Describe projects and handle challenges states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Behavioral & LeadershipOnsite - AmazonEasySoftware EngineerDiscuss AI Use, Deadlines, Ambiguity, and Feedback
Prepare evidence-based behavioral stories about generative AI use, technical complexity, deadlines, ambiguity, ownership, critical feedback, and rapid learning. Emphasize personal decisions, verification, stakeholder communication, honest trade-offs, measurable outcomes, and lessons from imperfect results.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerExplain What You Want in Your Next Role
Explain next-role motivation by connecting personal goals and evidence-backed strengths to verified team needs, while acknowledging open questions and tradeoffs.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerExplain Why You Are Considering a Job Change
This question assesses your ability to articulate a professional narrative that balances growth aspirations with current career satisfaction, ensuring that the motivation for leaving is proactive rather than reactive.
Behavioral & LeadershipOnsiteBehavioralCareer GrowthCommunication - AmazonMediumSoftware EngineerExplain how you use AI tools to learn and code, and defend a past AI project
A hiring-manager discussion for an entry-level software engineer about working with AI tools. It asks how the candidate uses AI to learn and to code, then probes a past AI project: whether AI was truly needed, how its output is verified, and how it would scale in a very large organization.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerFinding the Root Cause of an Intermittent Failure When the Obvious Metrics Look Healthy
A behavioral debugging question: describe a system that failed intermittently while its obvious metrics looked healthy, how you found the root cause, and how long it took. It tests whether you can explain why the dashboards stayed green and show a systematic, evidence-driven narrowing process.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerGenAI Literacy Questions: Daily AI Use, Handling Bad AI Output, and RAG Projects
Behavioral questions on generative AI literacy reported from hiring manager and Bar Raiser rounds: how you use AI tools day to day, a time you caught bad AI output, and a walkthrough of a retrieval-augmented generation project. It tests verification habits, judgment about data boundaries and RAG fundamentals.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerInfluence a Colleague Who Prefers a Different Approach
Describe influencing a colleague through shared goals, fair comparison, evidence, willingness to revise, and a concrete collaborative decision.
Behavioral & LeadershipOnsite - AmazonMediumSoftware EngineerLeadership Principle Stories: Ownership, Dive Deep, Tight Deadline, Disagree and Commit
Behavioral interview practice built around leadership principles: tell stories about taking ownership beyond your role, diving deep under repeated follow-ups, handling a tight deadline, and disagreeing with a teammate then committing. It tests first-person STAR storytelling, measurable results and mapping each story to the principle asked.
Behavioral & LeadershipOnsite
1Password
Adobe
Affirm
Airbnb
Amazon